Shiyan Jiang

1.3k citations
55 papers · 842 indexed · 1 hit paper · h-index 13

Impact in

Papers in

Shiyan Jiang

50 papers receiving 805 citations

Hit Papers

Assessing elementary students’ computational thinking in everyday reasoning and robotics programming 2017 · 302 citations
3022017202620202023100200300

Peers

Shiyan Jiang
Comparison fields: 5 of 89
  • Computer Science Applications 487
  • Health Informatics 52
  • Developmental and Educational Psychology 242
  • Software 28
  • Information Systems 125
Replace Christina Gardner‐McCune with:
Christina Gardner‐McCune United States
Deborah Seehorn United States
Ilkka Jormanainen Finland
Ralf Romeike Germany
Irene Lee United States
Camilo Vieira United States
Michelle Craig Canada
John Stamper United States
Randi Williams United States
Charles Riedesel United States
Shiyan Jiang relative to Christina Gardner‐McCune United States Christina Gardner‐McCune's profile →
Citations per field
00.5×1.5×1.8×
Christina Gardner‐McCune · 1×
Citations per year

Countries citing papers authored by Shiyan Jiang

Since Specialization
Citations

This map shows the geographic impact of Shiyan Jiang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shiyan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiyan Jiang more than expected).

Fields of papers citing papers by Shiyan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiyan Jiang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shiyan Jiang. The network helps show where Shiyan Jiang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shiyan Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shiyan Jiang Line = papers co-authored together Shiyan Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20249
4 20242
5 20233
6 20232
7 20230
8 20237
9 20238
10
Notice, Wonder, Feel, Act, and Reimagine as a Path Toward Social Justice in Data Science Education
20228
11 202212
12 202221
13 202210
14 202229
15 202212
16 202221
17 20225
18 202127
19 202021
20 202011

About Shiyan Jiang

Shiyan Jiang is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Speech and Hearing, Statistics and Probability and Health Informatics, having authored 55 papers that have together received 842 indexed citations. Recurring topics across this work include Online Learning and Analytics (15 papers), Teaching and Learning Programming (14 papers), Statistics Education and Methodologies (7 papers), Innovative Teaching and Learning Methods (7 papers), Digital Storytelling and Education (6 papers), Data Visualization and Analytics (6 papers), Educational Games and Gamification (6 papers) and Genetics, Bioinformatics, and Biomedical Research (5 papers). The work is most often cited by research in Computer Science Applications (487 citations), Health Informatics (52 citations), Developmental and Educational Psychology (242 citations), Software (28 citations) and Information Systems (125 citations). Shiyan Jiang has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Ji Shen, Lauren Barth-Cohen, Moataz Eltoukhy, Xiaoting Huang, Guanhua Chen, A. A. Gapud, Tong Li, Lu Ding, Blaine E. Smith and Carolyn Penstein Rosé. Their work appears in journals such as British Journal of Educational Technology, Learning Media and Technology, Education and Information Technologies, Educational Technology Research and Development and Journal of Research on Technology in Education.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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